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Shell Associate Data Engineer Jobs 2026

IT4IT / Data Engineering | Bengaluru

Posted: 14 April 2026
Bengaluru, Karnataka (Hybrid)
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Experience
3+ Years
Qualification
Bachelor's Degree
Salary
As per standards
Job ID
R201514

Job Overview

Shell is hiring for the role of Associate Data Engineer in Bengaluru, India.

This opportunity is ideal for professionals with experience in data engineering, cloud platforms, and analytics, who are looking to work on large-scale data systems within a global energy and technology company. In this role, you will work on building and maintaining data pipelines, big data solutions, and analytics platforms that enable data-driven decision-making across the organization.

💡 Why this role?

This position is perfect for candidates with hands-on experience in Azure Data Factory, Azure Data Lake, and SQL, offering the chance to innovate within Agile and DevOps environments to deliver robust business intelligence solutions.

Roles & Responsibilities

  • Build and maintain robust data pipelines and data engineering solutions using Azure Data Factory, ADLS, and Azure SQL.
  • Support the development of scalable big data platforms and analytics systems to facilitate critical business operations.
  • Perform data modelling, reporting, and business intelligence tasks, collaborating closely with stakeholders to deliver data-driven insights.
  • Manage the end-to-end data lifecycle, including storage, processing, and sharing, ensuring high standards of security, privacy, and compliance.
  • Work dynamically within Agile and DevOps environments, supporting the deployment of new data solutions and continuous process improvement.

Eligibility Criteria

Education

Bachelor’s degree in Information Technology, Computer Science, or a related technical field.

Experience

Minimum 3+ years of experience in data engineering, with hands-on exposure to cloud-based data platforms.

Technical & Core Competence

Strong knowledge of Azure Data Factory (ADF), Azure Data Lake (ADLS), and Azure SQL. Solid experience in data modelling and pipeline development. Familiarity with big data processing, Power BI, and Agile/DevOps practices.

How to Apply

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